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Improving Low-resource Reading Comprehension via Cross-lingual Transposition Rethinking
To address this issue, we propose a Cross-Lingual Transposition ReThinking (XLTT) model by modelling existing high-quality extractive reading comprehension datasets in a multilingual environment.
PatentMiner: Patent Vacancy Mining via Context-enhanced and Knowledge-guided Graph Attention
In this paper, we propose a new patent vacancy prediction approach named PatentMiner to mine rich semantic knowledge and predict new potential patents based on knowledge graph (KG) and graph attention mechanism.
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